The SAP Analytics Cloud solution brings together analytics and planning with integration to SAP applications and access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help make decisions without doubt.
$36
per month per user
SAP BW
Score 8.1 out of 10
N/A
SAP Business Warehouse, or SAP BW (formerly SAP NetWeaver Business Warehouse) is SAP's legacy data warehouse solution, now superseded by SAP BW/4HANA, and the SAP Data Warehouse Cloud which was launched in 2019.
SAP BW versions up to 7.4 have reached end of maintenance. SAP BW 7.5 support is extended to align with SAP Business Suite with NetWeaver components. For existing customers maintenance is scheduled to continue through 2027, with extended support available through 2030.
N/A
Pricing
SAP Analytics Cloud
SAP Business Warehouse
Editions & Modules
SAP Analytics Cloud for Business Intelligence
$36.00
per month per user
SAP Analytics Cloud for Planning
Price upon request
per month per user
No answers on this topic
Offerings
Pricing Offerings
SAP Analytics Cloud
SAP BW
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Get started on your 30-day trial with SAP Analytics Cloud, supporting analytics enterprise-wide. Extend it up to 90 days if you want to.
1. Commenting is better than BPC 2. Driver-based planning is better than Oracle EPM 3. Top-down and Bottom-up planning is better than both BPC as well as Oracle EPM
Verified User
Consultant
Chose SAP Analytics Cloud
SAC is a single platform for planning , collaborating and visualisation which other reporting tools do not provide
SAP Analytics Cloud is the product from SAP itself where most of the companies are well integrated with SAP S4 HANA, SAP BW, and SAP BW4HANA so this reporting tool helps us with the best integration and for faster reporting performance instead of other versions and also it is …
we use the SAP Analytics Cloud together with a business warehouse and use the planning engine (BW-IP) for our planning functions. We map these in the frontend (SAC) and thus offer a perfect addition to our on-premise systems. the planning takes place in the bw and an s4 system …
I feel SAP Analytics Cloud is superior to other tools because of cloud capability and the ability to connect to several data sources. It also has a feature to store large set of data in-memory for faster reporting.
SAP Analytics Cloud is a comparable product/solution to Power BI but has additional features that could be viewed as an improvement. SAP Analytics Cloud models are based on 1 large data set and multiple models can be merged. When combined with multiple SAP systems, the …
Qlik Sense is too expensive, much more complicated to use for users (especially new variables or other complex calculations) and requires you to buy too many extra functionalities to have the same options as SAP Analytics Cloud can offer.
As it has been released as a Beta version in the past days, I have not the chance to evaluate them together. Both products look pretty similar. I would like to use it more to see what are the main differences.
We are currently using Power BI primarily, and are using SAC primarily for planning at this point. Would be interested to explore more of the predictive and augmented analytics capabilities of SAC.
SAC is better at performance when the data source is bigger and the volume of data is high. That is thanks to live connectivity. SAC is offering a planning version and more functionalities. SAC is offering a lot more business content in the library.
The word "against" would not be the right word to describe this question. These applications coexist and interact, as all of them play a specific role in the SAP landscape. The use of any of these applications should be aligned with the data strategy in an Organization.
Its good for data modelling and ease of reporting capabilities. Even designing base master data models is complex but once done it makes life very easy for any reporting that involves hierarchies/ text & direct/indirect attributes even. It does not have capabilities for …